forecastservice

type Action struct {

	// The related time series that you are modifying. This value is case insensitive.
	//
	// AttributeName is a required field
	AttributeName *string `min:"1" type:"string" required:"true"`

	// The operation that is applied to the provided attribute. Operations include:
	//
	//    * ADD - adds Value to all rows of AttributeName.
	//
	//    * SUBTRACT - subtracts Value from all rows of AttributeName.
	//
	//    * MULTIPLY - multiplies all rows of AttributeName by Value.
	//
	//    * DIVIDE - divides all rows of AttributeName by Value.
	//
	// Operation is a required field
	Operation *string `type:"string" required:"true" enum:"Operation"`

	// The value that is applied for the chosen Operation.
	//
	// Value is a required field
	Value *float64 `type:"double" required:"true"`
	// contains filtered or unexported fields
}

type AdditionalDataset struct {

	// Weather Index
	//
	// To enable the Weather Index, do not specify a value for Configuration.
	//
	// Holidays
	//
	// Holidays
	//
	// To enable Holidays, set CountryCode to one of the following two-letter country
	// codes:
	//
	//    * "AL" - ALBANIA
	//
	//    * "AR" - ARGENTINA
	//
	//    * "AT" - AUSTRIA
	//
	//    * "AU" - AUSTRALIA
	//
	//    * "BA" - BOSNIA HERZEGOVINA
	//
	//    * "BE" - BELGIUM
	//
	//    * "BG" - BULGARIA
	//
	//    * "BO" - BOLIVIA
	//
	//    * "BR" - BRAZIL
	//
	//    * "BY" - BELARUS
	//
	//    * "CA" - CANADA
	//
	//    * "CL" - CHILE
	//
	//    * "CO" - COLOMBIA
	//
	//    * "CR" - COSTA RICA
	//
	//    * "HR" - CROATIA
	//
	//    * "CZ" - CZECH REPUBLIC
	//
	//    * "DK" - DENMARK
	//
	//    * "EC" - ECUADOR
	//
	//    * "EE" - ESTONIA
	//
	//    * "ET" - ETHIOPIA
	//
	//    * "FI" - FINLAND
	//
	//    * "FR" - FRANCE
	//
	//    * "DE" - GERMANY
	//
	//    * "GR" - GREECE
	//
	//    * "HU" - HUNGARY
	//
	//    * "IS" - ICELAND
	//
	//    * "IN" - INDIA
	//
	//    * "IE" - IRELAND
	//
	//    * "IT" - ITALY
	//
	//    * "JP" - JAPAN
	//
	//    * "KZ" - KAZAKHSTAN
	//
	//    * "KR" - KOREA
	//
	//    * "LV" - LATVIA
	//
	//    * "LI" - LIECHTENSTEIN
	//
	//    * "LT" - LITHUANIA
	//
	//    * "LU" - LUXEMBOURG
	//
	//    * "MK" - MACEDONIA
	//
	//    * "MT" - MALTA
	//
	//    * "MX" - MEXICO
	//
	//    * "MD" - MOLDOVA
	//
	//    * "ME" - MONTENEGRO
	//
	//    * "NL" - NETHERLANDS
	//
	//    * "NZ" - NEW ZEALAND
	//
	//    * "NI" - NICARAGUA
	//
	//    * "NG" - NIGERIA
	//
	//    * "NO" - NORWAY
	//
	//    * "PA" - PANAMA
	//
	//    * "PY" - PARAGUAY
	//
	//    * "PE" - PERU
	//
	//    * "PL" - POLAND
	//
	//    * "PT" - PORTUGAL
	//
	//    * "RO" - ROMANIA
	//
	//    * "RU" - RUSSIA
	//
	//    * "RS" - SERBIA
	//
	//    * "SK" - SLOVAKIA
	//
	//    * "SI" - SLOVENIA
	//
	//    * "ZA" - SOUTH AFRICA
	//
	//    * "ES" - SPAIN
	//
	//    * "SE" - SWEDEN
	//
	//    * "CH" - SWITZERLAND
	//
	//    * "UA" - UKRAINE
	//
	//    * "AE" - UNITED ARAB EMIRATES
	//
	//    * "US" - UNITED STATES
	//
	//    * "UK" - UNITED KINGDOM
	//
	//    * "UY" - URUGUAY
	//
	//    * "VE" - VENEZUELA
	Configuration map[string][]*string `type:"map"`

	// The name of the additional dataset. Valid names: "holiday" and "weather".
	//
	// Name is a required field
	Name *string `min:"1" type:"string" required:"true"`
	// contains filtered or unexported fields
}

type AttributeConfig struct {

	// The name of the attribute as specified in the schema. Amazon Forecast supports
	// the target field of the target time series and the related time series datasets.
	// For example, for the RETAIL domain, the target is demand.
	//
	// AttributeName is a required field
	AttributeName *string `min:"1" type:"string" required:"true"`

	// The method parameters (key-value pairs), which are a map of override parameters.
	// Specify these parameters to override the default values. Related Time Series
	// attributes do not accept aggregation parameters.
	//
	// The following list shows the parameters and their valid values for the "filling"
	// featurization method for a Target Time Series dataset. Default values are
	// bolded.
	//
	//    * aggregation: sum, avg, first, min, max
	//
	//    * frontfill: none
	//
	//    * middlefill: zero, nan (not a number), value, median, mean, min, max
	//
	//    * backfill: zero, nan, value, median, mean, min, max
	//
	// The following list shows the parameters and their valid values for a Related
	// Time Series featurization method (there are no defaults):
	//
	//    * middlefill: zero, value, median, mean, min, max
	//
	//    * backfill: zero, value, median, mean, min, max
	//
	//    * futurefill: zero, value, median, mean, min, max
	//
	// To set a filling method to a specific value, set the fill parameter to value
	// and define the value in a corresponding _value parameter. For example, to
	// set backfilling to a value of 2, include the following: "backfill": "value"
	// and "backfill_value":"2".
	//
	// Transformations is a required field
	Transformations map[string]*string `min:"1" type:"map" required:"true"`
	// contains filtered or unexported fields
}

type Baseline struct {

	// The initial accuracy metrics (https://docs.aws.amazon.com/forecast/latest/dg/metrics.html)
	// for the predictor you are monitoring. Use these metrics as a baseline for
	// comparison purposes as you use your predictor and the metrics change.
	PredictorBaseline *PredictorBaseline `type:"structure"`
	// contains filtered or unexported fields
}

type BaselineMetric struct {

	// The name of the metric.
	Name *string `min:"1" type:"string"`

	// The value for the metric.
	Value *float64 `type:"double"`
	// contains filtered or unexported fields
}

type CategoricalParameterRange struct {

	// The name of the categorical hyperparameter to tune.
	//
	// Name is a required field
	Name *string `min:"1" type:"string" required:"true"`

	// A list of the tunable categories for the hyperparameter.
	//
	// Values is a required field
	Values []*string `min:"1" type:"list" required:"true"`
	// contains filtered or unexported fields
}

type ContinuousParameterRange struct {

	// The maximum tunable value of the hyperparameter.
	//
	// MaxValue is a required field
	MaxValue *float64 `type:"double" required:"true"`

	// The minimum tunable value of the hyperparameter.
	//
	// MinValue is a required field
	MinValue *float64 `type:"double" required:"true"`

	// The name of the hyperparameter to tune.
	//
	// Name is a required field
	Name *string `min:"1" type:"string" required:"true"`

	// The scale that hyperparameter tuning uses to search the hyperparameter range.
	// Valid values:
	//
	// Auto
	//
	// Amazon Forecast hyperparameter tuning chooses the best scale for the hyperparameter.
	//
	// Linear
	//
	// Hyperparameter tuning searches the values in the hyperparameter range by
	// using a linear scale.
	//
	// Logarithmic
	//
	// Hyperparameter tuning searches the values in the hyperparameter range by
	// using a logarithmic scale.
	//
	// Logarithmic scaling works only for ranges that have values greater than 0.
	//
	// ReverseLogarithmic
	//
	// hyperparameter tuning searches the values in the hyperparameter range by
	// using a reverse logarithmic scale.
	//
	// Reverse logarithmic scaling works only for ranges that are entirely within
	// the range 0 <= x < 1.0.
	//
	// For information about choosing a hyperparameter scale, see Hyperparameter
	// Scaling (http://docs.aws.amazon.com/sagemaker/latest/dg/automatic-model-tuning-define-ranges.html#scaling-type).
	// One of the following values:
	ScalingType *string `type:"string" enum:"ScalingType"`
	// contains filtered or unexported fields
}

type CreateAutoPredictorInput struct {

	// The data configuration for your dataset group and any additional datasets.
	DataConfig *DataConfig `type:"structure"`

	// An Key Management Service (KMS) key and an Identity and Access Management
	// (IAM) role that Amazon Forecast can assume to access the key. You can specify
	// this optional object in the CreateDataset and CreatePredictor requests.
	EncryptionConfig *EncryptionConfig `type:"structure"`

	// Create an Explainability resource for the predictor.
	ExplainPredictor *bool `type:"boolean"`

	// An array of dimension (field) names that specify how to group the generated
	// forecast.
	//
	// For example, if you are generating forecasts for item sales across all your
	// stores, and your dataset contains a store_id field, you would specify store_id
	// as a dimension to group sales forecasts for each store.
	ForecastDimensions []*string `min:"1" type:"list"`

	// The frequency of predictions in a forecast.
	//
	// Valid intervals are an integer followed by Y (Year), M (Month), W (Week),
	// D (Day), H (Hour), and min (Minute). For example, "1D" indicates every day
	// and "15min" indicates every 15 minutes. You cannot specify a value that would
	// overlap with the next larger frequency. That means, for example, you cannot
	// specify a frequency of 60 minutes, because that is equivalent to 1 hour.
	// The valid values for each frequency are the following:
	//
	//    * Minute - 1-59
	//
	//    * Hour - 1-23
	//
	//    * Day - 1-6
	//
	//    * Week - 1-4
	//
	//    * Month - 1-11
	//
	//    * Year - 1
	//
	// Thus, if you want every other week forecasts, specify "2W". Or, if you want
	// quarterly forecasts, you specify "3M".
	//
	// The frequency must be greater than or equal to the TARGET_TIME_SERIES dataset
	// frequency.
	//
	// When a RELATED_TIME_SERIES dataset is provided, the frequency must be equal
	// to the RELATED_TIME_SERIES dataset frequency.
	ForecastFrequency *string `min:"1" type:"string"`

	// The number of time-steps that the model predicts. The forecast horizon is
	// also called the prediction length.
	//
	// The maximum forecast horizon is the lesser of 500 time-steps or 1/4 of the
	// TARGET_TIME_SERIES dataset length. If you are retraining an existing AutoPredictor,
	// then the maximum forecast horizon is the lesser of 500 time-steps or 1/3
	// of the TARGET_TIME_SERIES dataset length.
	//
	// If you are upgrading to an AutoPredictor or retraining an existing AutoPredictor,
	// you cannot update the forecast horizon parameter. You can meet this requirement
	// by providing longer time-series in the dataset.
	ForecastHorizon *int64 `type:"integer"`

	// The forecast types used to train a predictor. You can specify up to five
	// forecast types. Forecast types can be quantiles from 0.01 to 0.99, by increments
	// of 0.01 or higher. You can also specify the mean forecast with mean.
	ForecastTypes []*string `min:"1" type:"list"`

	// The configuration details for predictor monitoring. Provide a name for the
	// monitor resource to enable predictor monitoring.
	//
	// Predictor monitoring allows you to see how your predictor's performance changes
	// over time. For more information, see Predictor Monitoring (https://docs.aws.amazon.com/forecast/latest/dg/predictor-monitoring.html).
	MonitorConfig *MonitorConfig `type:"structure"`

	// The accuracy metric used to optimize the predictor.
	OptimizationMetric *string `type:"string" enum:"OptimizationMetric"`

	// A unique name for the predictor
	//
	// PredictorName is a required field
	PredictorName *string `min:"1" type:"string" required:"true"`

	// The ARN of the predictor to retrain or upgrade. This parameter is only used
	// when retraining or upgrading a predictor. When creating a new predictor,
	// do not specify a value for this parameter.
	//
	// When upgrading or retraining a predictor, only specify values for the ReferencePredictorArn
	// and PredictorName. The value for PredictorName must be a unique predictor
	// name.
	ReferencePredictorArn *string `type:"string"`

	// Optional metadata to help you categorize and organize your predictors. Each
	// tag consists of a key and an optional value, both of which you define. Tag
	// keys and values are case sensitive.
	//
	// The following restrictions apply to tags:
	//
	//    * For each resource, each tag key must be unique and each tag key must
	//    have one value.
	//
	//    * Maximum number of tags per resource: 50.
	//
	//    * Maximum key length: 128 Unicode characters in UTF-8.
	//
	//    * Maximum value length: 256 Unicode characters in UTF-8.
	//
	//    * Accepted characters: all letters and numbers, spaces representable in
	//    UTF-8, and + - = . _ : / @. If your tagging schema is used across other
	//    services and resources, the character restrictions of those services also
	//    apply.
	//
	//    * Key prefixes cannot include any upper or lowercase combination of aws:
	//    or AWS:. Values can have this prefix. If a tag value has aws as its prefix
	//    but the key does not, Forecast considers it to be a user tag and will
	//    count against the limit of 50 tags. Tags with only the key prefix of aws
	//    do not count against your tags per resource limit. You cannot edit or
	//    delete tag keys with this prefix.
	Tags []*Tag `type:"list"`

	// The time boundary Forecast uses to align and aggregate any data that doesn't
	// align with your forecast frequency. Provide the unit of time and the time
	// boundary as a key value pair. For more information on specifying a time boundary,
	// see Specifying a Time Boundary (https://docs.aws.amazon.com/forecast/latest/dg/data-aggregation.html#specifying-time-boundary).
	// If you don't provide a time boundary, Forecast uses a set of Default Time
	// Boundaries (https://docs.aws.amazon.com/forecast/latest/dg/data-aggregation.html#default-time-boundaries).
	TimeAlignmentBoundary *TimeAlignmentBoundary `type:"structure"`
	// contains filtered or unexported fields
}

type CreateAutoPredictorOutput struct {

	// The Amazon Resource Name (ARN) of the predictor.
	PredictorArn *string `type:"string"`
	// contains filtered or unexported fields
}

type CreateDatasetGroupInput struct {

	// An array of Amazon Resource Names (ARNs) of the datasets that you want to
	// include in the dataset group.
	DatasetArns []*string `type:"list"`

	// A name for the dataset group.
	//
	// DatasetGroupName is a required field
	DatasetGroupName *string `min:"1" type:"string" required:"true"`

	// The domain associated with the dataset group. When you add a dataset to a
	// dataset group, this value and the value specified for the Domain parameter
	// of the CreateDataset (https://docs.aws.amazon.com/forecast/latest/dg/API_CreateDataset.html)
	// operation must match.
	//
	// The Domain and DatasetType that you choose determine the fields that must
	// be present in training data that you import to a dataset. For example, if
	// you choose the RETAIL domain and TARGET_TIME_SERIES as the DatasetType, Amazon
	// Forecast requires that item_id, timestamp, and demand fields are present
	// in your data. For more information, see Dataset groups (https://docs.aws.amazon.com/forecast/latest/dg/howitworks-datasets-groups.html).
	//
	// Domain is a required field
	Domain *string `type:"string" required:"true" enum:"Domain"`

	// The optional metadata that you apply to the dataset group to help you categorize
	// and organize them. Each tag consists of a key and an optional value, both
	// of which you define.
	//
	// The following basic restrictions apply to tags:
	//
	//    * Maximum number of tags per resource - 50.
	//
	//    * For each resource, each tag key must be unique, and each tag key can
	//    have only one value.
	//
	//    * Maximum key length - 128 Unicode characters in UTF-8.
	//
	//    * Maximum value length - 256 Unicode characters in UTF-8.
	//
	//    * If your tagging schema is used across multiple services and resources,
	//    remember that other services may have restrictions on allowed characters.
	//    Generally allowed characters are: letters, numbers, and spaces representable
	//    in UTF-8, and the following characters: + - = . _ : / @.
	//
	//    * Tag keys and values are case sensitive.
	//
	//    * Do not use aws:, AWS:, or any upper or lowercase combination of such
	//    as a prefix for keys as it is reserved for Amazon Web Services use. You
	//    cannot edit or delete tag keys with this prefix. Values can have this
	//    prefix. If a tag value has aws as its prefix but the key does not, then
	//    Forecast considers it to be a user tag and will count against the limit
	//    of 50 tags. Tags with only the key prefix of aws do not count against
	//    your tags per resource limit.
	Tags []*Tag `type:"list"`
	// contains filtered or unexported fields
}

type CreateDatasetGroupOutput struct {

	// The Amazon Resource Name (ARN) of the dataset group.
	DatasetGroupArn *string `type:"string"`
	// contains filtered or unexported fields
}

type CreateDatasetImportJobInput struct {

	// The location of the training data to import and an Identity and Access Management
	// (IAM) role that Amazon Forecast can assume to access the data. The training
	// data must be stored in an Amazon S3 bucket.
	//
	// If encryption is used, DataSource must include an Key Management Service
	// (KMS) key and the IAM role must allow Amazon Forecast permission to access
	// the key. The KMS key and IAM role must match those specified in the EncryptionConfig
	// parameter of the CreateDataset (https://docs.aws.amazon.com/forecast/latest/dg/API_CreateDataset.html)
	// operation.
	//
	// DataSource is a required field
	DataSource *DataSource `type:"structure" required:"true"`

	// The Amazon Resource Name (ARN) of the Amazon Forecast dataset that you want
	// to import data to.
	//
	// DatasetArn is a required field
	DatasetArn *string `type:"string" required:"true"`

	// The name for the dataset import job. We recommend including the current timestamp
	// in the name, for example, 20190721DatasetImport. This can help you avoid
	// getting a ResourceAlreadyExistsException exception.
	//
	// DatasetImportJobName is a required field
	DatasetImportJobName *string `min:"1" type:"string" required:"true"`

	// The format of the imported data, CSV or PARQUET. The default value is CSV.
	Format *string `type:"string"`

	// The format of the geolocation attribute. The geolocation attribute can be
	// formatted in one of two ways:
	//
	//    * LAT_LONG - the latitude and longitude in decimal format (Example: 47.61_-122.33).
	//
	//    * CC_POSTALCODE (US Only) - the country code (US), followed by the 5-digit
	//    ZIP code (Example: US_98121).
	GeolocationFormat *string `type:"string"`

	// Specifies whether the dataset import job is a FULL or INCREMENTAL import.
	// A FULL dataset import replaces all of the existing data with the newly imported
	// data. An INCREMENTAL import appends the imported data to the existing data.
	ImportMode *string `type:"string" enum:"ImportMode"`

	// The optional metadata that you apply to the dataset import job to help you
	// categorize and organize them. Each tag consists of a key and an optional
	// value, both of which you define.
	//
	// The following basic restrictions apply to tags:
	//
	//    * Maximum number of tags per resource - 50.
	//
	//    * For each resource, each tag key must be unique, and each tag key can
	//    have only one value.
	//
	//    * Maximum key length - 128 Unicode characters in UTF-8.
	//
	//    * Maximum value length - 256 Unicode characters in UTF-8.
	//
	//    * If your tagging schema is used across multiple services and resources,
	//    remember that other services may have restrictions on allowed characters.
	//    Generally allowed characters are: letters, numbers, and spaces representable
	//    in UTF-8, and the following characters: + - = . _ : / @.
	//
	//    * Tag keys and values are case sensitive.
	//
	//    * Do not use aws:, AWS:, or any upper or lowercase combination of such
	//    as a prefix for keys as it is reserved for Amazon Web Services use. You
	//    cannot edit or delete tag keys with this prefix. Values can have this
	//    prefix. If a tag value has aws as its prefix but the key does not, then
	//    Forecast considers it to be a user tag and will count against the limit
	//    of 50 tags. Tags with only the key prefix of aws do not count against
	//    your tags per resource limit.
	Tags []*Tag `type:"list"`

	// A single time zone for every item in your dataset. This option is ideal for
	// datasets with all timestamps within a single time zone, or if all timestamps
	// are normalized to a single time zone.
	//
	// Refer to the Joda-Time API (http://joda-time.sourceforge.net/timezones.html)
	// for a complete list of valid time zone names.
	TimeZone *string `type:"string"`

	// The format of timestamps in the dataset. The format that you specify depends
	// on the DataFrequency specified when the dataset was created. The following
	// formats are supported
	//
	//    * "yyyy-MM-dd" For the following data frequencies: Y, M, W, and D
	//
	//    * "yyyy-MM-dd HH:mm:ss" For the following data frequencies: H, 30min,
	//    15min, and 1min; and optionally, for: Y, M, W, and D
	//
	// If the format isn't specified, Amazon Forecast expects the format to be "yyyy-MM-dd
	// HH:mm:ss".
	TimestampFormat *string `type:"string"`

	// Automatically derive time zone information from the geolocation attribute.
	// This option is ideal for datasets that contain timestamps in multiple time
	// zones and those timestamps are expressed in local time.
	UseGeolocationForTimeZone *bool `type:"boolean"`
	// contains filtered or unexported fields
}

type CreateDatasetImportJobOutput struct {

	// The Amazon Resource Name (ARN) of the dataset import job.
	DatasetImportJobArn *string `type:"string"`
	// contains filtered or unexported fields
}

type CreateDatasetInput struct {

	// The frequency of data collection. This parameter is required for RELATED_TIME_SERIES
	// datasets.
	//
	// Valid intervals are an integer followed by Y (Year), M (Month), W (Week),
	// D (Day), H (Hour), and min (Minute). For example, "1D" indicates every day
	// and "15min" indicates every 15 minutes. You cannot specify a value that would
	// overlap with the next larger frequency. That means, for example, you cannot
	// specify a frequency of 60 minutes, because that is equivalent to 1 hour.
	// The valid values for each frequency are the following:
	//
	//    * Minute - 1-59
	//
	//    * Hour - 1-23
	//
	//    * Day - 1-6
	//
	//    * Week - 1-4
	//
	//    * Month - 1-11
	//
	//    * Year - 1
	//
	// Thus, if you want every other week forecasts, specify "2W". Or, if you want
	// quarterly forecasts, you specify "3M".
	DataFrequency *string `min:"1" type:"string"`

	// A name for the dataset.
	//
	// DatasetName is a required field
	DatasetName *string `min:"1" type:"string" required:"true"`

	// The dataset type. Valid values depend on the chosen Domain.
	//
	// DatasetType is a required field
	DatasetType *string `type:"string" required:"true" enum:"DatasetType"`

	// The domain associated with the dataset. When you add a dataset to a dataset
	// group, this value and the value specified for the Domain parameter of the
	// CreateDatasetGroup (https://docs.aws.amazon.com/forecast/latest/dg/API_CreateDatasetGroup.html)
	// operation must match.
	//
	// The Domain and DatasetType that you choose determine the fields that must
	// be present in the training data that you import to the dataset. For example,
	// if you choose the RETAIL domain and TARGET_TIME_SERIES as the DatasetType,
	// Amazon Forecast requires item_id, timestamp, and demand fields to be present
	// in your data. For more information, see Importing datasets (https://docs.aws.amazon.com/forecast/latest/dg/howitworks-datasets-groups.html).
	//
	// Domain is a required field
	Domain *string `type:"string" required:"true" enum:"Domain"`

	// An Key Management Service (KMS) key and the Identity and Access Management
	// (IAM) role that Amazon Forecast can assume to access the key.
	EncryptionConfig *EncryptionConfig `type:"structure"`

	// The schema for the dataset. The schema attributes and their order must match
	// the fields in your data. The dataset Domain and DatasetType that you choose
	// determine the minimum required fields in your training data. For information
	// about the required fields for a specific dataset domain and type, see Dataset
	// Domains and Dataset Types (https://docs.aws.amazon.com/forecast/latest/dg/howitworks-domains-ds-types.html).
	//
	// Schema is a required field
	Schema *Schema `type:"structure" required:"true"`

	// The optional metadata that you apply to the dataset to help you categorize
	// and organize them. Each tag consists of a key and an optional value, both
	// of which you define.
	//
	// The following basic restrictions apply to tags:
	//
	//    * Maximum number of tags per resource - 50.
	//
	//    * For each resource, each tag key must be unique, and each tag key can
	//    have only one value.
	//
	//    * Maximum key length - 128 Unicode characters in UTF-8.
	//
	//    * Maximum value length - 256 Unicode characters in UTF-8.
	//
	//    * If your tagging schema is used across multiple services and resources,
	//    remember that other services may have restrictions on allowed characters.
	//    Generally allowed characters are: letters, numbers, and spaces representable
	//    in UTF-8, and the following characters: + - = . _ : / @.
	//
	//    * Tag keys and values are case sensitive.
	//
	//    * Do not use aws:, AWS:, or any upper or lowercase combination of such
	//    as a prefix for keys as it is reserved for Amazon Web Services use. You
	//    cannot edit or delete tag keys with this prefix. Values can have this
	//    prefix. If a tag value has aws as its prefix but the key does not, then
	//    Forecast considers it to be a user tag and will count against the limit
	//    of 50 tags. Tags with only the key prefix of aws do not count against
	//    your tags per resource limit.
	Tags []*Tag `type:"list"`
	// contains filtered or unexported fields
}

type CreateDatasetOutput struct {

	// The Amazon Resource Name (ARN) of the dataset.
	DatasetArn *string `type:"string"`
	// contains filtered or unexported fields
}

type CreateExplainabilityExportInput struct {

	// The destination for an export job. Provide an S3 path, an Identity and Access
	// Management (IAM) role that allows Amazon Forecast to access the location,
	// and an Key Management Service (KMS) key (optional).
	//
	// Destination is a required field
	Destination *DataDestination `type:"structure" required:"true"`

	// The Amazon Resource Name (ARN) of the Explainability to export.
	//
	// ExplainabilityArn is a required field
	ExplainabilityArn *string `type:"string" required:"true"`

	// A unique name for the Explainability export.
	//
	// ExplainabilityExportName is a required field
	ExplainabilityExportName *string `min:"1" type:"string" required:"true"`

	// The format of the exported data, CSV or PARQUET.
	Format *string `type:"string"`

	// Optional metadata to help you categorize and organize your resources. Each
	// tag consists of a key and an optional value, both of which you define. Tag
	// keys and values are case sensitive.
	//
	// The following restrictions apply to tags:
	//
	//    * For each resource, each tag key must be unique and each tag key must
	//    have one value.
	//
	//    * Maximum number of tags per resource: 50.
	//
	//    * Maximum key length: 128 Unicode characters in UTF-8.
	//
	//    * Maximum value length: 256 Unicode characters in UTF-8.
	//
	//    * Accepted characters: all letters and numbers, spaces representable in
	//    UTF-8, and + - = . _ : / @. If your tagging schema is used across other
	//    services and resources, the character restrictions of those services also
	//    apply.
	//
	//    * Key prefixes cannot include any upper or lowercase combination of aws:
	//    or AWS:. Values can have this prefix. If a tag value has aws as its prefix
	//    but the key does not, Forecast considers it to be a user tag and will
	//    count against the limit of 50 tags. Tags with only the key prefix of aws
	//    do not count against your tags per resource limit. You cannot edit or
	//    delete tag keys with this prefix.
	Tags []*Tag `type:"list"`
	// contains filtered or unexported fields
}

type CreateExplainabilityExportOutput struct {

	// The Amazon Resource Name (ARN) of the export.
	ExplainabilityExportArn *string `type:"string"`
	// contains filtered or unexported fields
}

type CreateExplainabilityInput struct {

	// The source of your data, an Identity and Access Management (IAM) role that
	// allows Amazon Forecast to access the data and, optionally, an Key Management
	// Service (KMS) key.
	DataSource *DataSource `type:"structure"`

	// Create an Explainability visualization that is viewable within the Amazon
	// Web Services console.
	EnableVisualization *bool `type:"boolean"`

	// If TimePointGranularity is set to SPECIFIC, define the last time point for
	// the Explainability.
	//
	// Use the following timestamp format: yyyy-MM-ddTHH:mm:ss (example: 2015-01-01T20:00:00)
	EndDateTime *string `type:"string"`

	// The configuration settings that define the granularity of time series and
	// time points for the Explainability.
	//
	// ExplainabilityConfig is a required field
	ExplainabilityConfig *ExplainabilityConfig `type:"structure" required:"true"`

	// A unique name for the Explainability.
	//
	// ExplainabilityName is a required field
	ExplainabilityName *string `min:"1" type:"string" required:"true"`

	// The Amazon Resource Name (ARN) of the Predictor or Forecast used to create
	// the Explainability.
	//
	// ResourceArn is a required field
	ResourceArn *string `type:"string" required:"true"`

	// Defines the fields of a dataset.
	Schema *Schema `type:"structure"`

	// If TimePointGranularity is set to SPECIFIC, define the first point for the
	// Explainability.
	//
	// Use the following timestamp format: yyyy-MM-ddTHH:mm:ss (example: 2015-01-01T20:00:00)
	StartDateTime *string `type:"string"`

	// Optional metadata to help you categorize and organize your resources. Each
	// tag consists of a key and an optional value, both of which you define. Tag
	// keys and values are case sensitive.
	//
	// The following restrictions apply to tags:
	//
	//    * For each resource, each tag key must be unique and each tag key must
	//    have one value.
	//
	//    * Maximum number of tags per resource: 50.
	//
	//    * Maximum key length: 128 Unicode characters in UTF-8.
	//
	//    * Maximum value length: 256 Unicode characters in UTF-8.
	//
	//    * Accepted characters: all letters and numbers, spaces representable in
	//    UTF-8, and + - = . _ : / @. If your tagging schema is used across other
	//    services and resources, the character restrictions of those services also
	//    apply.
	//
	//    * Key prefixes cannot include any upper or lowercase combination of aws:
	//    or AWS:. Values can have this prefix. If a tag value has aws as its prefix
	//    but the key does not, Forecast considers it to be a user tag and will
	//    count against the limit of 50 tags. Tags with only the key prefix of aws
	//    do not count against your tags per resource limit. You cannot edit or
	//    delete tag keys with this prefix.
	Tags []*Tag `type:"list"`
	// contains filtered or unexported fields
}

type CreateExplainabilityOutput struct {

	// The Amazon Resource Name (ARN) of the Explainability.
	ExplainabilityArn *string `type:"string"`
	// contains filtered or unexported fields
}

type CreateForecastExportJobInput struct {

	// The location where you want to save the forecast and an Identity and Access
	// Management (IAM) role that Amazon Forecast can assume to access the location.
	// The forecast must be exported to an Amazon S3 bucket.
	//
	// If encryption is used, Destination must include an Key Management Service
	// (KMS) key. The IAM role must allow Amazon Forecast permission to access the
	// key.
	//
	// Destination is a required field
	Destination *DataDestination `type:"structure" required:"true"`

	// The Amazon Resource Name (ARN) of the forecast that you want to export.
	//
	// ForecastArn is a required field
	ForecastArn *string `type:"string" required:"true"`

	// The name for the forecast export job.
	//
	// ForecastExportJobName is a required field
	ForecastExportJobName *string `min:"1" type:"string" required:"true"`

	// The format of the exported data, CSV or PARQUET. The default value is CSV.
	Format *string `type:"string"`

	// The optional metadata that you apply to the forecast export job to help you
	// categorize and organize them. Each tag consists of a key and an optional
	// value, both of which you define.
	//
	// The following basic restrictions apply to tags:
	//
	//    * Maximum number of tags per resource - 50.
	//
	//    * For each resource, each tag key must be unique, and each tag key can
	//    have only one value.
	//
	//    * Maximum key length - 128 Unicode characters in UTF-8.
	//
	//    * Maximum value length - 256 Unicode characters in UTF-8.
	//
	//    * If your tagging schema is used across multiple services and resources,
	//    remember that other services may have restrictions on allowed characters.
	//    Generally allowed characters are: letters, numbers, and spaces representable
	//    in UTF-8, and the following characters: + - = . _ : / @.
	//
	//    * Tag keys and values are case sensitive.
	//
	//    * Do not use aws:, AWS:, or any upper or lowercase combination of such
	//    as a prefix for keys as it is reserved for Amazon Web Services use. You
	//    cannot edit or delete tag keys with this prefix. Values can have this
	//    prefix. If a tag value has aws as its prefix but the key does not, then
	//    Forecast considers it to be a user tag and will count against the limit
	//    of 50 tags. Tags with only the key prefix of aws do not count against
	//    your tags per resource limit.
	Tags []*Tag `type:"list"`
	// contains filtered or unexported fields
}

type CreateForecastExportJobOutput struct {

	// The Amazon Resource Name (ARN) of the export job.
	ForecastExportJobArn *string `type:"string"`
	// contains filtered or unexported fields
}

type CreateForecastInput struct {

	// A name for the forecast.
	//
	// ForecastName is a required field
	ForecastName *string `min:"1" type:"string" required:"true"`

	// The quantiles at which probabilistic forecasts are generated. You can currently
	// specify up to 5 quantiles per forecast. Accepted values include 0.01 to 0.99
	// (increments of .01 only) and mean. The mean forecast is different from the
	// median (0.50) when the distribution is not symmetric (for example, Beta and
	// Negative Binomial).
	//
	// The default quantiles are the quantiles you specified during predictor creation.
	// If you didn't specify quantiles, the default values are ["0.1", "0.5", "0.9"].
	ForecastTypes []*string `min:"1" type:"list"`

	// The Amazon Resource Name (ARN) of the predictor to use to generate the forecast.
	//
	// PredictorArn is a required field
	PredictorArn *string `type:"string" required:"true"`

	// The optional metadata that you apply to the forecast to help you categorize
	// and organize them. Each tag consists of a key and an optional value, both
	// of which you define.
	//
	// The following basic restrictions apply to tags:
	//
	//    * Maximum number of tags per resource - 50.
	//
	//    * For each resource, each tag key must be unique, and each tag key can
	//    have only one value.
	//
	//    * Maximum key length - 128 Unicode characters in UTF-8.
	//
	//    * Maximum value length - 256 Unicode characters in UTF-8.
	//
	//    * If your tagging schema is used across multiple services and resources,
	//    remember that other services may have restrictions on allowed characters.
	//    Generally allowed characters are: letters, numbers, and spaces representable
	//    in UTF-8, and the following characters: + - = . _ : / @.
	//
	//    * Tag keys and values are case sensitive.
	//
	//    * Do not use aws:, AWS:, or any upper or lowercase combination of such
	//    as a prefix for keys as it is reserved for Amazon Web Services use. You
	//    cannot edit or delete tag keys with this prefix. Values can have this
	//    prefix. If a tag value has aws as its prefix but the key does not, then
	//    Forecast considers it to be a user tag and will count against the limit
	//    of 50 tags. Tags with only the key prefix of aws do not count against
	//    your tags per resource limit.
	Tags []*Tag `type:"list"`

	// Defines the set of time series that are used to create the forecasts in a
	// TimeSeriesIdentifiers object.
	//
	// The TimeSeriesIdentifiers object needs the following information:
	//
	//    * DataSource
	//
	//    * Format
	//
	//    * Schema
	TimeSeriesSelector *TimeSeriesSelector `type:"structure"`
	// contains filtered or unexported fields
}

type CreateForecastOutput struct {

	// The Amazon Resource Name (ARN) of the forecast.
	ForecastArn *string `type:"string"`
	// contains filtered or unexported fields
}

type CreateMonitorInput struct {

	// The name of the monitor resource.
	//
	// MonitorName is a required field
	MonitorName *string `min:"1" type:"string" required:"true"`

	// The Amazon Resource Name (ARN) of the predictor to monitor.
	//
	// ResourceArn is a required field
	ResourceArn *string `type:"string" required:"true"`

	// A list of tags (https://docs.aws.amazon.com/forecast/latest/dg/tagging-forecast-resources.html)
	// to apply to the monitor resource.
	Tags []*Tag `type:"list"`
	// contains filtered or unexported fields
}

type CreateMonitorOutput struct {

	// The Amazon Resource Name (ARN) of the monitor resource.
	MonitorArn *string `type:"string"`
	// contains filtered or unexported fields
}

type CreatePredictorBacktestExportJobInput struct {

	// The destination for an export job. Provide an S3 path, an Identity and Access
	// Management (IAM) role that allows Amazon Forecast to access the location,
	// and an Key Management Service (KMS) key (optional).
	//
	// Destination is a required field
	Destination *DataDestination `type:"structure" required:"true"`

	// The format of the exported data, CSV or PARQUET. The default value is CSV.
	Format *string `type:"string"`

	// The Amazon Resource Name (ARN) of the predictor that you want to export.
	//
	// PredictorArn is a required field
	PredictorArn *string `type:"string" required:"true"`

	// The name for the backtest export job.
	//
	// PredictorBacktestExportJobName is a required field
	PredictorBacktestExportJobName *string `min:"1" type:"string" required:"true"`

	// Optional metadata to help you categorize and organize your backtests. Each
	// tag consists of a key and an optional value, both of which you define. Tag
	// keys and values are case sensitive.
	//
	// The following restrictions apply to tags:
	//
	//    * For each resource, each tag key must be unique and each tag key must
	//    have one value.
	//
	//    * Maximum number of tags per resource: 50.
	//
	//    * Maximum key length: 128 Unicode characters in UTF-8.
	//
	//    * Maximum value length: 256 Unicode characters in UTF-8.
	//
	//    * Accepted characters: all letters and numbers, spaces representable in
	//    UTF-8, and + - = . _ : / @. If your tagging schema is used across other
	//    services and resources, the character restrictions of those services also
	//    apply.
	//
	//    * Key prefixes cannot include any upper or lowercase combination of aws:
	//    or AWS:. Values can have this prefix. If a tag value has aws as its prefix
	//    but the key does not, Forecast considers it to be a user tag and will
	//    count against the limit of 50 tags. Tags with only the key prefix of aws
	//    do not count against your tags per resource limit. You cannot edit or
	//    delete tag keys with this prefix.
	Tags []*Tag `type:"list"`
	// contains filtered or unexported fields
}

type CreatePredictorBacktestExportJobOutput struct {

	// The Amazon Resource Name (ARN) of the predictor backtest export job that
	// you want to export.
	PredictorBacktestExportJobArn *string `type:"string"`
	// contains filtered or unexported fields
}

type CreatePredictorInput struct {

	// The Amazon Resource Name (ARN) of the algorithm to use for model training.
	// Required if PerformAutoML is not set to true.
	//
	// Supported algorithms:
	//
	//    * arn:aws:forecast:::algorithm/ARIMA
	//
	//    * arn:aws:forecast:::algorithm/CNN-QR
	//
	//    * arn:aws:forecast:::algorithm/Deep_AR_Plus
	//
	//    * arn:aws:forecast:::algorithm/ETS
	//
	//    * arn:aws:forecast:::algorithm/NPTS
	//
	//    * arn:aws:forecast:::algorithm/Prophet
	AlgorithmArn *string `type:"string"`

	//
	// The LatencyOptimized AutoML override strategy is only available in private
	// beta. Contact Amazon Web Services Support or your account manager to learn
	// more about access privileges.
	//
	// Used to overide the default AutoML strategy, which is to optimize predictor
	// accuracy. To apply an AutoML strategy that minimizes training time, use LatencyOptimized.
	//
	// This parameter is only valid for predictors trained using AutoML.
	AutoMLOverrideStrategy *string `type:"string" enum:"AutoMLOverrideStrategy"`

	// An Key Management Service (KMS) key and the Identity and Access Management
	// (IAM) role that Amazon Forecast can assume to access the key.
	EncryptionConfig *EncryptionConfig `type:"structure"`

	// Used to override the default evaluation parameters of the specified algorithm.
	// Amazon Forecast evaluates a predictor by splitting a dataset into training
	// data and testing data. The evaluation parameters define how to perform the
	// split and the number of iterations.
	EvaluationParameters *EvaluationParameters `type:"structure"`

	// The featurization configuration.
	//
	// FeaturizationConfig is a required field
	FeaturizationConfig *FeaturizationConfig `type:"structure" required:"true"`

	// Specifies the number of time-steps that the model is trained to predict.
	// The forecast horizon is also called the prediction length.
	//
	// For example, if you configure a dataset for daily data collection (using
	// the DataFrequency parameter of the CreateDataset operation) and set the forecast
	// horizon to 10, the model returns predictions for 10 days.
	//
	// The maximum forecast horizon is the lesser of 500 time-steps or 1/3 of the
	// TARGET_TIME_SERIES dataset length.
	//
	// ForecastHorizon is a required field
	ForecastHorizon *int64 `type:"integer" required:"true"`

	// Specifies the forecast types used to train a predictor. You can specify up
	// to five forecast types. Forecast types can be quantiles from 0.01 to 0.99,
	// by increments of 0.01 or higher. You can also specify the mean forecast with
	// mean.
	//
	// The default value is ["0.10", "0.50", "0.9"].
	ForecastTypes []*string `min:"1" type:"list"`

	// Provides hyperparameter override values for the algorithm. If you don't provide
	// this parameter, Amazon Forecast uses default values. The individual algorithms
	// specify which hyperparameters support hyperparameter optimization (HPO).
	// For more information, see aws-forecast-choosing-recipes.
	//
	// If you included the HPOConfig object, you must set PerformHPO to true.
	HPOConfig *HyperParameterTuningJobConfig `type:"structure"`

	// Describes the dataset group that contains the data to use to train the predictor.
	//
	// InputDataConfig is a required field
	InputDataConfig *InputDataConfig `type:"structure" required:"true"`

	// The accuracy metric used to optimize the predictor.
	OptimizationMetric *string `type:"string" enum:"OptimizationMetric"`

	// Whether to perform AutoML. When Amazon Forecast performs AutoML, it evaluates
	// the algorithms it provides and chooses the best algorithm and configuration
	// for your training dataset.
	//
	// The default value is false. In this case, you are required to specify an
	// algorithm.
	//
	// Set PerformAutoML to true to have Amazon Forecast perform AutoML. This is
	// a good option if you aren't sure which algorithm is suitable for your training
	// data. In this case, PerformHPO must be false.
	PerformAutoML *bool `type:"boolean"`

	// Whether to perform hyperparameter optimization (HPO). HPO finds optimal hyperparameter
	// values for your training data. The process of performing HPO is known as
	// running a hyperparameter tuning job.
	//
	// The default value is false. In this case, Amazon Forecast uses default hyperparameter
	// values from the chosen algorithm.
	//
	// To override the default values, set PerformHPO to true and, optionally, supply
	// the HyperParameterTuningJobConfig object. The tuning job specifies a metric
	// to optimize, which hyperparameters participate in tuning, and the valid range
	// for each tunable hyperparameter. In this case, you are required to specify
	// an algorithm and PerformAutoML must be false.
	//
	// The following algorithms support HPO:
	//
	//    * DeepAR+
	//
	//    * CNN-QR
	PerformHPO *bool `type:"boolean"`

	// A name for the predictor.
	//
	// PredictorName is a required field
	PredictorName *string `min:"1" type:"string" required:"true"`

	// The optional metadata that you apply to the predictor to help you categorize
	// and organize them. Each tag consists of a key and an optional value, both
	// of which you define.
	//
	// The following basic restrictions apply to tags:
	//
	//    * Maximum number of tags per resource - 50.
	//
	//    * For each resource, each tag key must be unique, and each tag key can
	//    have only one value.
	//
	//    * Maximum key length - 128 Unicode characters in UTF-8.
	//
	//    * Maximum value length - 256 Unicode characters in UTF-8.
	//
	//    * If your tagging schema is used across multiple services and resources,
	//    remember that other services may have restrictions on allowed characters.
	//    Generally allowed characters are: letters, numbers, and spaces representable
	//    in UTF-8, and the following characters: + - = . _ : / @.
	//
	//    * Tag keys and values are case sensitive.
	//
	//    * Do not use aws:, AWS:, or any upper or lowercase combination of such
	//    as a prefix for keys as it is reserved for Amazon Web Services use. You
	//    cannot edit or delete tag keys with this prefix. Values can have this
	//    prefix. If a tag value has aws as its prefix but the key does not, then
	//    Forecast considers it to be a user tag and will count against the limit
	//    of 50 tags. Tags with only the key prefix of aws do not count against
	//    your tags per resource limit.
	Tags []*Tag `type:"list"`

	// The hyperparameters to override for model training. The hyperparameters that
	// you can override are listed in the individual algorithms. For the list of
	// supported algorithms, see aws-forecast-choosing-recipes.
	TrainingParameters map[string]*string `type:"map"`
	// contains filtered or unexported fields
}

type CreatePredictorOutput struct {

	// The Amazon Resource Name (ARN) of the predictor.
	PredictorArn *string `type:"string"`
	// contains filtered or unexported fields
}

type CreateWhatIfAnalysisInput struct {

	// The Amazon Resource Name (ARN) of the baseline forecast.
	//
	// ForecastArn is a required field
	ForecastArn *string `type:"string" required:"true"`

	// A list of tags (https://docs.aws.amazon.com/forecast/latest/dg/tagging-forecast-resources.html)
	// to apply to the what if forecast.
	Tags []*Tag `type:"list"`

	// Defines the set of time series that are used in the what-if analysis with
	// a TimeSeriesIdentifiers object. What-if analyses are performed only for the
	// time series in this object.
	//
	// The TimeSeriesIdentifiers object needs the following information:
	//
	//    * DataSource
	//
	//    * Format
	//
	//    * Schema
	TimeSeriesSelector *TimeSeriesSelector `type:"structure"`

	// The name of the what-if analysis. Each name must be unique.
	//
	// WhatIfAnalysisName is a required field
	WhatIfAnalysisName *string `min:"1" type:"string" required:"true"`
	// contains filtered or unexported fields
}